Article Summary
FAR、SII及Caprini评分与老年肺癌患者术后下肢深静脉血栓形成的关系及风险预警模型构建
Relationship Between FAR, SII and Caprini Score and Postoperative Deep Venous Thrombosis of Lower Extremity in Elderly Patients With Lung Cancer and Construction of a Risk Warning Model
投稿时间:2024-06-18  修订日期:2024-06-18
DOI:
中文关键词: 老年  肺癌  FAR  SII  Caprini评分  下肢深静脉血栓形成  列线图
英文关键词: Elderly  Lung cancer  FAR  SII  Caprini score  Deep venous thrombosis of lower extremity  Nomogram
基金项目:陕西省创新能力支撑计划项目(2018KJXX-092)
作者单位邮编
李积安* 西安市胸科医院 710100
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中文摘要:
      目的 探讨纤维蛋白原/白蛋白比值(FAR)、系统免疫炎症指数(SII)及Caprini评分与老年肺癌患者术后下肢深静脉血栓形成(DVT)的关系,并构建列线图风险预警模型。方法 选取2019年5月至2023年10月在我院行手术治疗的老年肺癌患者352例,检测并收集患者术后1d的FAR、SII和Caprini评分。术后随访3个月,根据患者是否发生下肢DVT分为发生组(84例)和未发生组(268例)。采用Logistic回归分析老年肺癌患者术后下肢DVT的影响因素,并构建列线图风险预警模型。绘制受试者工作特征(ROC)曲线评价列线图风险预警模型对老年肺癌患者术后下肢DVT的预测效能。结果 老年肺癌患者术后下肢DVT与术前化疗、术后卧床时间、糖尿病、D-二聚体(D-D)、高脂血症、纤维蛋白原(FIB)、白蛋白(BSA)、中性粒细胞计数(ANC)、淋巴细胞计数(ALC)、血小板计数(PLT)、FAR、SII、Caprini评分有关(P<0.05)。多因素Logistic回归分析结果显示,合并糖尿病、高脂血症、术前化疗、术后卧床时间延长、FAR、SII、Caprini评分均升高为老年肺癌患者术后下肢DVT的独立危险因素(P<0.05)。列线图风险预警模型的预测曲线与理想曲线贴合度良好,且H-L检验P>0.05。ROC曲线分析结果显示,该列线图风险预警模型预测老年肺癌患者术后下肢DVT的曲线下面积(AUC)为0.866。结论 FAR、SII及Caprini评分均升高为老年肺癌患者术后下肢DVT的独立危险因素,构建的列线图风险预警模型对老年肺癌患者术后下肢DVT具有较高的预测价值。
英文摘要:
      Objective To investigate the relationship between fibrinogen/albumin ratio (FAR), systemic immune inflammation index (SII) and Caprini score and postoperative deep venous thrombosis (DVT) of lower extremity in elderly patients with lung cancer, and to construct a nomogram risk warning model.Methods 352 elderly patients with lung cancer who underwent surgical treatment in our hospital from May 2019 to October 2023 were selected, the FAR, SII and Caprini score of the patients at 1 day after operation were detected and collected. After 3 months of follow-up, the patients were divided into occurrence group (84 cases) and non-occurrence group (268 cases) according to whether the lower extremity DVT occurred or not. The influencing factors of postoperative lower extremity DVT in elderly patients with lung cancer were analyzed by Logistic regression, and build a nomogram risk warning model. The predictive efficacy of the nomogram risk warning model for postoperative lower extremity DVT in elderly patients with lung cancer was evaluated by drawn receiver operating characteristic (ROC) curve. Results Postoperative lower extremity DVT in elderly patients with lung cancer was related to preoperative chemotherapy, postoperative bed duration, diabetes mellitus, D-dimer (D-D), hyperlipidemia, fibrinogen (FIB), albumin (BSA), neutrophil count (ANC), lymphocyte count (ALC), platelet count (PLT), FAR, SII, Caprini score (P<0.05). Multivariate Logistic regression analysis showed that diabetes mellitus, hyperlipidemia, preoperative chemotherapy, prolonged postoperative bed duration, and increased FAR, SII, and Caprini score were independent risk factors for postoperative lower extremity DVT in elderly patients with lung cancer (P<0.05). The prediction curve of the nomogram risk early warning model was in good agreement with the ideal curve, and the H-L test P>0.05. The results of ROC curve analysis showed that, the area under the curve (AUC) of the nomogram risk warning model for predicting postoperative lower extremity DVT in elderly patients with lung cancer was 0.866. Conclusion The increase of FAR, SII and Caprini score are independent risk factors for postoperative lower extremity DVT in elderly patients with lung cancer, and construction of nomogram risk warning model has a high predictive value for postoperative lower extremity DVT in elderly patients with lung cancer.
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